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The Medical Informatics Initiative and the Network University Medicine - Perspectives for Nuclear Medicine
Isabelle Miederer1, Julian Manuel Michael Rogasch2,3, Regina Fischer4,5,6
1Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Nuklearmedizin. Nuclear Medicine
|September 8, 2023
Summary
Digitization and artificial intelligence (AI) are transforming nuclear medicine in Germany. Initiatives like the Medical Informatics Initiative (MII) and Network University Medicine (NUM) are key to enabling privacy-preserving, federated multi-center analyses with harmonized data.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Nuclear Medicine
Background:
- The digitization of healthcare and the integration of AI, including image analysis, present significant opportunities and challenges for nuclear medicine.
- Key German initiatives, the Medical Informatics Initiative (MII) and Network University Medicine (NUM), are pivotal in driving this transformation.
- The German Society of Nuclear Medicine (DGN) is establishing dedicated working groups to address digital medicine and AI.
Purpose of the Study:
- To review the structures and roles of the MII and NUM in advancing digitization and AI within German nuclear medicine.
- To highlight the future potential of these initiatives in facilitating privacy-preserving, federated multi-center analyses.
- To outline the objectives of the new DGN working group and the FOSA Nuklearmedizin in coordinating digital medicine efforts.
Main Methods:
- Review of existing structures and initiatives (MII, NUM) within the German healthcare and nuclear medicine landscape.
- Analysis of the role of interoperable data structures and federated learning for multi-center analyses.
- Description of the formation and aims of the DGN's "Digitization and AI" working group and the FOSA Nuklearmedizin.
Main Results:
- The MII and NUM provide essential frameworks for the integration of digital technologies and AI in nuclear medicine.
- Federated multi-center analyses are enabled through privacy-preserving methods and harmonized, interoperable data structures.
- New working groups within the DGN and NUM are established to steer and coordinate digital medicine and AI-driven research.
Conclusions:
- The outlined initiatives and structures are crucial for the future of digital and AI-supported nuclear medicine in Germany.
- Emphasis on privacy-preserving federated learning and data harmonization is key to unlocking the potential of multi-center studies.
- Coordinated efforts through dedicated working groups will accelerate the adoption of digital medicine and AI in the field.
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